Computer science research at Minnesota

The work by Ph.D. student Yasamin Jafarian and assistant professor Hyun Soo Park used TikTok dance videos to learn high fidelity depths of dressed humans.

A new collaboration between UMN and Cisco Systems seeks to advance cutting-edge technologies that transform the way people access, manage, and protect data.

This is the highest award presented by the PAKDD, and Karypis was selected for his outstanding contributions to the field of knowledge discovery and data mining.

CS&E professor Shashi Shekhar and Ph.D. student Yan Li were on the research team that received the 2021 Robert C. Johns Research Partnership Award.

The work by Ph.D. student Irene Ye Yuan and associate professor Lana Yarosh looked at tabletop games in the age of remote collaboration.

Research from CS&E's Chad Myers and collaborators from the Donnelly Centre is featured in the May issue of Science Magazine.

Two papers from assistant professor Mattia Fazzini and his students will be presented at the premier software engineering conference.

The project is a collaboration between the West Central Research and Outreach Center (WCROC), The Toro Company, and CS&E's Robotic Sensor Networks Lab.

The CS&E assistant professor discussed her work at the intersection of human-centered computing, ML, and high-risk mental illness behaviors.

Professor Pen-Chung Yew had two papers accepted for this year's International Symposium on Code Generation and Optimization.

CS&E's Hyun Soo Park will lead artificial intelligence research to better understand drivers' behavior to increase safe driving

A team of CS&E students is working with assistant professor Evan Suma Rosenberg on more immersive options to video conferencing.

This recognition from the Association for Computing Machinery celebrates his long-term commitment and outstanding scientific contributions to computing.

From exploring shipwrecks to air-dropping supplies in a pandemic, CS&E faculty and students are designing robots for the 21st century.

CS&E associate professor Paul Schrater is part of the team who, for the first time, developed a method to measure thoughts.

CS&E assistant professor Ju Sun is part of the team aiming to add tracking systems on electric scooters to improve safety of riders on the road.

CS&E's Ju Sun and colleagues from the Medical School have utilized machine learning to diagnose COVID-19 via X-ray imaging.

The project ‘Mixed Reality Spatial Interaction for Diverse Communities’ aims to get technology into community hands while accounting for pandemic restrictions.